Spaces:
Runtime error
Runtime error
from transformers import MarianMTModel, MarianTokenizer | |
import gradio as gr | |
# Load model and tokenizer | |
model_name = "Helsinki-NLP/opus-mt-en-fa" | |
tokenizer = MarianTokenizer.from_pretrained(model_name) | |
model = MarianMTModel.from_pretrained(model_name) | |
# Translation function | |
def translate(text): | |
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True) | |
translated = model.generate(**inputs) | |
return tokenizer.decode(translated[0], skip_special_tokens=True) | |
# Gradio Interface | |
interface = gr.Interface( | |
fn=translate, | |
inputs=gr.Textbox(lines=5, placeholder="Enter English text here..."), | |
outputs=gr.Textbox(label="Translated to Persian"), | |
title="English to Persian Translator", | |
description="Type text in English and get the Persian translation." | |
) | |
interface.launch() | |